{"id":"W4391995172","doi":"10.3390/curroncol31030084","title":"Lung Cancer Prevalence in Virginia: A Spatial Zipcode-Level Analysis via INLA","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Covariate; Demography; Poisson regression; Overdispersion; Population; Statistics; Medicine; Geography; Gerontology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001638702,0.0002477092,0.000482455,0.002743439,0.0005704418,0.001256146,0.001047399,0.0003412103,0.002135499],"category_scores_gemma":[0.006375204,0.0002178051,0.001194811,0.004259313,0.0002921486,0.0003986408,0.001541243,0.0005969415,0.0005388529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446254,"about_ca_system_score_gemma":0.001765812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1345516,"about_ca_topic_score_gemma":0.1258287,"domain_scores_codex":[0.9982032,0.0006892903,0.0001364064,0.0004622522,0.0002488246,0.00026004],"domain_scores_gemma":[0.9957944,0.001395339,0.001272343,0.0005142822,0.0007637361,0.0002598565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006311142,0.00002268622,0.9948461,0.0000283521,0.0001980581,0.00003224615,0.0001091487,0.0007190486,0.00007436421,0.0001659781,0.001240635,0.002500342],"study_design_scores_gemma":[0.00001013051,0.000072865,0.9841728,0.00005625875,0.000193983,0.0001749785,0.0007569796,0.009672052,0.0001633834,0.0003014505,0.004408104,0.00001693011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703921,0.0003130997,0.003608366,0.000182396,0.00002141383,0.00006627022,0.02370083,0.0001314605,0.001584045],"genre_scores_gemma":[0.9842309,0.0001031752,0.002438889,0.00004321904,0.00001795803,0.0001052846,0.01255477,0.0000355362,0.0004702682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1345516,"threshold_uncertainty_score":0.2675369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06959483743361028,"score_gpt":0.443818454746742,"score_spread":0.3742236173131317,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}